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The economics of conditional heteroskedasticity: Evidence from canadian and U.S. stock and futures markets

  • Lucy Ackert
  • Marie Racine

This paper provides insight into the sources of time variation and persistence in volatility by presenting new evidence concerning the price behavior of three index futures contracts and associated stock price indexes (the New York Stock Exchange Composite index, Standard and Poor's 500 index, and Toronto 35 index). Although persistence in the second moments of stock returns distribution is widely documented, the economic explanation for generalized autoregressive conditional heteroskedasticity is not established. Cross-sectional differences in measured persistence indicate that market characteristics thought to impede information flows may not play a significant role in explaining generalized autoregressive conditional heteroskedasticity effects. Copyright International Atlantic Economic Society 1997

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File URL: http://hdl.handle.net/10.1007/BF02298347
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Article provided by International Atlantic Economic Society in its journal Atlantic Economic Journal.

Volume (Year): 25 (1997)
Issue (Month): 4 (December)
Pages: 371-385

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Handle: RePEc:kap:atlecj:v:25:y:1997:i:4:p:371-385
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  1. Errunza, Vihang, et al, 1994. "Conditional Heteroskedasticity and Global Stock Return Distributions," The Financial Review, Eastern Finance Association, vol. 29(3), pages 293-317, August.
  2. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-42, May.
  3. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
  4. Lamoureux, Christopher G & Lastrapes, William D, 1990. " Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-29, March.
  5. Trueman, Brett, 1988. " A Theory of Noise Trading in Securities Markets," Journal of Finance, American Finance Association, vol. 43(1), pages 83-95, March.
  6. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
  7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  8. Francis X. Diebold & Marc Nerlove, 1986. "The dynamics of exchange rate volatility: a multivariate latent factor ARCH model," Special Studies Papers 205, Board of Governors of the Federal Reserve System (U.S.).
  9. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
  10. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
  11. Benoit Mandelbrot, 1963. "The Variation of Certain Speculative Prices," The Journal of Business, University of Chicago Press, vol. 36, pages 394.
  12. Laux, Paul A. & Ng, Lilian K., 1993. "The sources of GARCH: empirical evidence from an intraday returns model incorporating systematic and unique risks," Journal of International Money and Finance, Elsevier, vol. 12(5), pages 543-560, October.
  13. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
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